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Our Approach

How we build interview coaching you can actually trust

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Why OfferStory AI Exists

OfferStory AI is an independent app. It is made by one person who builds it by directing AI tools, not by a team of software engineers. It started from a practical problem: the practice options for behavioral interviews were either expensive or too generic to help with the specific answers you have to give.

The aim is a tool that is affordable, private (audio only, no camera), and grounded in published interview research rather than generic tips.

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Who We Are (and Aren't)

✓ What we are

  • An independent app, made by one person directing AI tools
  • Researched, with the sources cited on this page
  • Practitioners of the frameworks we teach (we use STAR ourselves)
  • Committed to updating our content as new research emerges

✗ What we're not

  • Professional career counselors or certified coaches
  • Guaranteeing interview results or job offers
  • A replacement for professional career guidance
  • Claiming expertise we don't have

We believe in honest transparency. You deserve to know exactly who's behind the tool you're using. Read our full disclaimer for more.

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How We Build Our Coaching

Every question, feedback prompt, and coaching insight in OfferStory AI is grounded in established interview science. Here's our methodology:

01

Research-Backed Frameworks

Our STAR coaching is based on the behavioral interviewing methodology pioneered by industrial-organizational psychologists. Structured interviews have been shown to be significantly more predictive of job performance than unstructured ones (Schmidt & Hunter, 1998).

02

Curated Question Bank

Our 40+ questions are curated from real interview reports, published hiring guides, and common patterns reported by candidates at top tech companies. We categorize them by role (PM, SWE) and competency area.

03

AI Grounded in Structure

Our AI feedback isn't generic encouragement. It analyzes your answer against the STAR framework, quotes your exact words, and provides specific suggestions — the same approach a structured mock interview would use.

04

Continuous Updates

We regularly review new research on interview effectiveness, anxiety reduction techniques, and AI coaching best practices. When the evidence evolves, our product evolves with it.

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Sources & References

We draw on research from these areas and organizations. For specific citations, see the sources section on our blog posts.

Interview Science

  • Schmidt & Hunter (1998) — meta-analysis on the validity of selection methods
  • Huffcutt & Arthur (1994) — meta-analysis on interview structure and validity
  • Campion, Palmer & Campion (1997) — guidelines for structured interviewing

Behavioral Interviewing

  • Development Dimensions International (DDI) — originators of the STAR framework
  • Janz (1982) — foundational research on behavior description interviewing
  • Society for Human Resource Management (SHRM) guidelines

Interview Anxiety

  • McCarthy & Goffin (2004) — measuring interview anxiety dimensions
  • Feiler & Powell (2015) — research on anxiety's impact on interview performance
  • Audio-only interview format research from remote hiring studies

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